A Deep Neural Network Application for Improved Prediction of $\text{HbA}_{\text{1c}}$ in Type 1 Diabetes

IEEE Journal of Biomedical and Health Informatics ◽

10.1109/jbhi.2020.2967546 ◽

2020 ◽

Vol 24 (10) ◽

pp. 2932-2941 ◽

Author(s):

Aleksandr Zaitcev ◽

Mohammad R. Eissa ◽

Zheng Hui ◽

Tim Good ◽

Jackie Elliott ◽

...

Keyword(s):

Neural Network ◽

Type 1 Diabetes ◽

Deep Neural Network ◽

Network Application

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Prediction of Non-Linear Mechanical Behavior With Deep Neural Network: Application on Low Pressure Turbine Disc

10.1115/1.0002686v ◽

2021 ◽

Author(s):

Yuan Jin ◽

Weichen Li ◽

Zheyi Yang ◽

Olivier Jung

Keyword(s):

Neural Network ◽

Mechanical Behavior ◽

Deep Neural Network ◽

Low Pressure ◽

Low Pressure Turbine ◽

Turbine Disc ◽

Network Application

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Multi-Hour Blood Glucose Prediction in Type 1 Diabetes: A Patient-Specific Approach Using Shallow Neural Network Models

Diabetes Technology & Therapeutics ◽

10.1089/dia.2020.0061 ◽

2020 ◽

Vol 22 (12) ◽

pp. 883-891 ◽

Author(s):

Taisa Kushner ◽

Marc D. Breton ◽

Sriram Sankaranarayanan

Keyword(s):

Neural Network ◽

Type 1 Diabetes ◽

Blood Glucose ◽

Network Models ◽

Patient Specific ◽

Neural Network Models ◽

Specific Approach ◽

Glucose Prediction

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Towards to deep neural network application with limited training data: synthesis of melanoma's diffuse reflectance spectral images

Diffuse Optical Spectroscopy and Imaging VII ◽

10.1117/12.2527173 ◽

2019 ◽

Author(s):

Katrina Bolocko ◽

Dmitrijs Bliznuks ◽

Dilshat Uteshev ◽

Ilze Lihacova ◽

Alexey Lihachev ◽

...

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Diffuse Reflectance ◽

Training Data ◽

Data Synthesis ◽

Network Application

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Deep neural network application for 4D seismic inversion to changes in pressure and saturation: Optimizing the use of synthetic training datasets

Geophysical Prospecting ◽

10.1111/1365-2478.12982 ◽

2020 ◽

Vol 68 (7) ◽

pp. 2164-2185

Author(s):

Gustavo Côrte ◽

Jesper Dramsch ◽

Hamed Amini ◽

Colin MacBeth

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Seismic Inversion ◽

Network Application ◽

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Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly

NeuroImage Clinical ◽

10.1016/j.nicl.2019.101871 ◽

2019 ◽

Vol 23 ◽

pp. 101871 ◽

Author(s):

Muhan Shao ◽

Shuo Han ◽

Aaron Carass ◽

Xiang Li ◽

Ari M. Blitz ◽

...

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Brain Ventricle ◽

Network Application

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Neural-Network Detection of Hypoglycemic Episodes in Children with Type 1 Diabetes using Physiological Parameters

2006 International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2006.259482 ◽

2006 ◽

Author(s):

Hung T. Nguyen ◽

Nejhdeh Ghevondian ◽

Timothy W. Jones

Keyword(s):

Neural Network ◽

Type 1 Diabetes ◽

Physiological Parameters

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Leveraging a Big Dataset to Develop a Recurrent Neural Network to Predict Adverse Glycemic Events in Type 1 Diabetes

IEEE Journal of Biomedical and Health Informatics ◽

10.1109/jbhi.2019.2911701 ◽

2019 ◽

pp. 1-1 ◽

Author(s):

Clara Mosquera-Lopez ◽

Robert Dodier ◽

Nichole Tyler ◽

Navid Resalat ◽

Peter Jacobs

Keyword(s):

Neural Network ◽

Type 1 Diabetes ◽

Recurrent Neural Network

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1303-P: Comparative Performance of a Recurrent Neural Network (RNN) and Logistic Regression (LR) Model to Predict Diabetic Ketoacidosis (DKA) among Youth Postdiagnosis with Type 1 Diabetes (T1D)

Diabetes ◽

10.2337/db20-1303-p ◽

2020 ◽

Vol 69 (Supplement 1) ◽

pp. 1303-P

Author(s):

DAVID D. WILLIAMS ◽

SARINA DASS ◽

JONATHAN BASS ◽

SUSANA R. PATTON ◽

SANJEEV N. MEHTA ◽

...

Keyword(s):

Neural Network ◽

Type 1 Diabetes ◽

Logistic Regression ◽

Diabetic Ketoacidosis ◽

Recurrent Neural Network ◽

Comparative Performance

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Deep Neural Network Application for 4D Seismic Inversion to Pressure and Saturation: Enhancing Training Data Sets

10.3997/2214-4609.202010961 ◽

2020 ◽

Author(s):

G. Corte ◽

J. Dramsch ◽

C. MacBeth ◽

H. Amini

Keyword(s):

Neural Network ◽

Deep Neural Network ◽

Seismic Inversion ◽

Training Data ◽

Data Sets ◽

Network Application ◽

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Neural network modeling and control of type 1 diabetes mellitus

Bioprocess and Biosystems Engineering ◽

10.1007/s00449-004-0363-3 ◽

2004 ◽

Vol 27 (2) ◽

pp. 75-79 ◽

Author(s):

A. Karim El-Jabali

Keyword(s):

Neural Network ◽

Diabetes Mellitus ◽

Type 1 Diabetes ◽

Type 1 Diabetes Mellitus ◽

Network Modeling ◽

Neural Network Modeling ◽

Modeling And Control ◽

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